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Gender and feminist considerations in artificial intelligence from a developing-world perspective, with India as a case study

Author

Listed:
  • Shailendra Kumar

    (Sikkim Central University)

  • Sanghamitra Choudhury

    (Bodoland State University
    University of Oxford
    Queen’s University
    Hague Academy of International Law)

Abstract

This manuscript discusses the relationship between women, technology manifestation, and likely prospects in the developing world. Using India as a case study, the manuscript outlines how Artificial Intelligence (AI) and robotics affect women’s opportunities in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.

Suggested Citation

  • Shailendra Kumar & Sanghamitra Choudhury, 2022. "Gender and feminist considerations in artificial intelligence from a developing-world perspective, with India as a case study," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01043-5
    DOI: 10.1057/s41599-022-01043-5
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    References listed on IDEAS

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    1. Luojia Hu & Analía Schlosser, 2012. "Trends in Prenatal Sex Selection and Girls' Nutritional Status in India," CESifo Economic Studies, CESifo Group, vol. 58(2), pages 348-372, June.
    2. Menghan Du & Nathaniel Jillette & Jacqueline Jufen Zhu & Sheng Li & Albert Wu Cheng, 2020. "CRISPR artificial splicing factors," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    3. Sylvie Borau & Tobias Otterbring & Sandra Laporte & Samuel Fosso Wamba, 2021. "The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI," Post-Print hal-03648092, HAL.
    4. Xinqin Liao & Weitao Song & Xiangyu Zhang & Chaoqun Yan & Tianliang Li & Hongliang Ren & Cunzhi Liu & Yongtian Wang & Yuanjin Zheng, 2020. "A bioinspired analogous nerve towards artificial intelligence," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    5. Akbulut-Yuksel, Mevlude & Rosenblum, Daniel, 2012. "The Indian Ultrasound Paradox," IZA Discussion Papers 6273, Institute of Labor Economics (IZA).
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